Literature DB >> 27239670

Family history of myocardial infarction, stroke and diabetes and cardiometabolic markers in children.

Nina E Berentzen1,2, Alet H Wijga3, Lenie van Rossem2, Gerard H Koppelman4, Bo van Nieuwenhuizen1, Ulrike Gehring5, Annemieke M W Spijkerman1, Henriëtte A Smit2.   

Abstract

AIMS/HYPOTHESIS: Despite the overlap in occurrence of cardiovascular disease (CVD) and type 2 diabetes and their risk factors, family history of these diseases has not yet been investigated simultaneously in relation to cardiometabolic markers in offspring. We examined how a family history of CVD and/or diabetes relates to cardiometabolic markers in offspring, and to what extent these diseases independently contribute to cardiometabolic markers.
METHODS: We used data from 1,374 12-year-old children and their parents participating in a birth cohort study in the Netherlands. Family history of CVD (myocardial infarction [MI] and stroke) and diabetes were reported by the parents. Children were classified as 'no', 'moderate' or 'strong' family history, based on early/late onset of disease in parents and grandparents. Cardiometabolic markers were measured at 12 years of age: waist circumference, cholesterol, blood pressure and HbA1c.
RESULTS: Compared with those with no family history, children with a strong family history of MI and/or stroke and/or diabetes (29% of the study population) had 0.13 mmol/l higher total cholesterol (TC) (95% CI 0.03, 0.23) and 0.18 higher TC/HDL-cholesterol (HDLC) ratio (95% CI 0.04, 0.32). A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases. These associations remained after adjusting for BMI. Children with a moderate family history had no unfavourable cardiometabolic markers. CONCLUSIONS/
INTERPRETATION: One-third of the children had a strong family history of CVD and/or diabetes. These children had higher TC levels and TC/HDLC ratios than children with no family history. A strong family history of MI or diabetes was independently associated with unfavourable cardiometabolic markers specific to those diseases.

Entities:  

Keywords:  Cardiovascular disease; Cholesterol; Diabetes; Family history; Paediatrics

Mesh:

Substances:

Year:  2016        PMID: 27239670     DOI: 10.1007/s00125-016-3988-2

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  38 in total

Review 1.  Comparison of family history measures used to identify high risk of coronary heart disease.

Authors:  J Silberberg; J Fryer; J Wlodarczyk; R Robertson; K Dear
Journal:  Genet Epidemiol       Date:  1999       Impact factor: 2.135

Review 2.  Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis.

Authors:  Xiaoli Chen; Youfa Wang
Journal:  Circulation       Date:  2008-06-16       Impact factor: 29.690

3.  Blood pressure in young adulthood and mortality from cardiovascular disease.

Authors:  P McCarron; G D Smith; M Okasha; J McEwen
Journal:  Lancet       Date:  2000-04-22       Impact factor: 79.321

4.  Influence of familial risk on diabetes risk-reducing behaviors among U.S. adults without diabetes.

Authors:  Man-Huei Chang; Rodolfo Valdez; Renée M Ned; Tiebin Liu; Quanhe Yang; Ajay Yesupriya; Nicole F Dowling; James B Meigs; Michael S Bowen; Muin J Khoury
Journal:  Diabetes Care       Date:  2011-09-20       Impact factor: 17.152

5.  The relation of parental cardiovascular disease to risk factors in children and young adults. The Bogalusa Heart Study.

Authors:  W Bao; S R Srinivasan; W A Wattigney; G S Berenson
Journal:  Circulation       Date:  1995-01-15       Impact factor: 29.690

6.  Parental history of type 2 diabetes and cardiometabolic biomarkers in offspring.

Authors:  Ali Abbasi; Eva Corpeleijn; Yvonne T van der Schouw; Ronald P Stolk; Annemieke Spijkerman; Daphne L van der A; Gerjan Navis; Stephan J L Bakker; Joline W J Beulens
Journal:  Eur J Clin Invest       Date:  2012-05-08       Impact factor: 4.686

7.  A self-report measure of pubertal status: Reliability, validity, and initial norms.

Authors:  A C Petersen; L Crockett; M Richards; A Boxer
Journal:  J Youth Adolesc       Date:  1988-04

8.  Establishing a standard definition for child overweight and obesity worldwide: international survey.

Authors:  T J Cole; M C Bellizzi; K M Flegal; W H Dietz
Journal:  BMJ       Date:  2000-05-06

9.  The link between family history and risk of type 2 diabetes is not explained by anthropometric, lifestyle or genetic risk factors: the EPIC-InterAct study.

Authors:  R A Scott; C Langenberg; S J Sharp; P W Franks; O Rolandsson; D Drogan; Y T van der Schouw; U Ekelund; N D Kerrison; E Ardanaz; L Arriola; B Balkau; A Barricarte; I Barroso; B Bendinelli; J W J Beulens; H Boeing; B de Lauzon-Guillain; P Deloukas; G Fagherazzi; C Gonzalez; S J Griffin; L C Groop; J Halkjaer; J M Huerta; R Kaaks; K T Khaw; V Krogh; P M Nilsson; T Norat; K Overvad; S Panico; L Rodriguez-Suarez; D Romaguera; I Romieu; C Sacerdote; M J Sánchez; A M W Spijkerman; B Teucher; A Tjonneland; R Tumino; D L van der A; P A Wark; M I McCarthy; E Riboli; N J Wareham
Journal:  Diabetologia       Date:  2012-09-28       Impact factor: 10.122

10.  Relation of familial patterns of coronary heart disease, stroke, and diabetes to subclinical atherosclerosis: the multi-ethnic study of atherosclerosis.

Authors:  Maren T Scheuner; Claude Messan Setodji; James S Pankow; Roger S Blumenthal; Emmett Keeler
Journal:  Genet Med       Date:  2008-12       Impact factor: 8.822

View more
  2 in total

1.  Diabetic family history in young Japanese persons with normal glucose tolerance associates with k-means clustering of glucose response to oral glucose load, insulinogenic index and Matsuda index.

Authors:  Norimitsu Murai; Naoko Saito; Sayuri Nii; Yuto Nishikawa; Asami Suzuki; Eriko Kodama; Tatsuya Iida; Kentaro Mikura; Hideyuki Imai; Mai Hashizume; Yasuyoshi Kigawa; Rie Tadokoro; Chiho Sugisawa; Kei Endo; Toru Iizaka; Fumiko Otsuka; Shun Ishibashi; Shoichiro Nagasaka
Journal:  Metabol Open       Date:  2022-06-13

2.  Clustering of cardio-metabolic risk factors in parents of adolescents with type 1 diabetes and microalbuminuria.

Authors:  M Loredana Marcovecchio; Päivi H Tossavainen; Katharine Owen; Catherine Fullah; Paul Benitez-Aguirre; Stefano Masi; Ken Ong; Helen Nguyen; Scott T Chiesa; R Neil Dalton; John Deanfield; David B Dunger
Journal:  Pediatr Diabetes       Date:  2017-03-08       Impact factor: 4.866

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.